Implementing focused echocardiography and AI-supported analysis in a population-based survey in Lesotho: implications for community-based cardiovascular disease care models.
AI-supported analysis
Community-based care
Focused echocardiography
Left ventricular hypertrophy
Lesotho
Journal
Hypertension research : official journal of the Japanese Society of Hypertension
ISSN: 1348-4214
Titre abrégé: Hypertens Res
Pays: England
ID NLM: 9307690
Informations de publication
Date de publication:
16 Jan 2024
16 Jan 2024
Historique:
received:
24
08
2023
accepted:
02
12
2023
revised:
23
11
2023
medline:
17
1
2024
pubmed:
17
1
2024
entrez:
16
1
2024
Statut:
aheadofprint
Résumé
In settings where access to expert echocardiography is limited, focused echocardiography, combined with artificial intelligence (AI)-supported analysis, may improve diagnosis and monitoring of left ventricular hypertrophy (LVH). Sixteen nurses/nurse-assistants without prior experience in echocardiography underwent a 2-day hands-on intensive training to learn how to assess parasternal long axis views (PLAX) using an inexpensive hand-held ultrasound device in Lesotho, Southern Africa. Loops were stored on a cloud-drive, analyzed using deep learning algorithms at the University Hospital Basel, and afterwards confirmed by a board-certified cardiologist. The nurses/nurse-assistants obtained 756 echocardiograms. Of the 754 uploaded image files, 628 (83.3%) were evaluable by deep learning algorithms. Of those, results of 514/628 (81.9%) were confirmed by a cardiologist. Of the 126 not evaluable by the AI algorithm, 46 (36.5%) were manually evaluable. Overall, 660 (87.5%) uploaded files were evaluable and confirmed. Following short-term training of nursing cadres, a high proportion of obtained PLAX was evaluable using AI-supported analysis. This could be a basis for AI- and telemedical support in hard-to-reach areas with minimal resources.
Identifiants
pubmed: 38228749
doi: 10.1038/s41440-023-01559-6
pii: 10.1038/s41440-023-01559-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. The Author(s).
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